title: Automated motif extraction and classification in RNA tertiary structures.
abstract: We used a novel graph-based approach to extract RNA tertiary motifs. We cataloged them all and clustered them using an innovative graph similarity measure. We applied our method to three widely studied structures: Haloarcula marismortui 50S (H.m 50S), Escherichia coli 50S (E. coli 50S), and Thermus thermophilus 16S (T.th 16S) RNAs. We identified 10 known motifs without any prior knowledge of their shapes or positions. We additionally identified four putative new motifs.
authors.affiliation: Laboratoire de Recherche en Informatique, Université Paris-Sud 11 and CNRS, 91405 Orsay Cedex, France.
authors.forename: Mahassine
authors.initials: M
authors.lastname: Djelloul
authors.forename: Alain
authors.initials: A
authors.lastname: Denise
mesh_terms: D016000:Cluster Analysis; D004926:Escherichia coli / Q000737:chemistry; D019614:Haloarcula marismortui / Q000737:chemistry; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry*; D019642:RNA, Archaeal / Q000737:chemistry; D012329:RNA, Bacterial / Q000737:chemistry; D016963:Thermus thermophilus / Q000737:chemistry
chemical_list: D019642:RNA, Archaeal; D012329:RNA, Bacterial; D012313:RNA